Perplexity, a San Francisco-based startup, has introduced two new online large language models (LLMs) called pplx-7b-online and pplx-70b-online. These online LLMs aim to overcome the limitations of existing LLMs by providing up-to-date information and minimizing the generation of false information. They can tap into the latest information from the internet, making them uniquely capable of answering queries that depend on recent events or data. Perplexity’s models have been fine-tuned on diverse, high-quality datasets to optimize for helpfulness and factuality. They are publicly accessible via the Perplexity API and Labs web interface, marking a pivotal moment for the democratization of AI. By providing access to the latest information and insights from the web, Perplexity’s models help level the playing field between large tech firms and smaller organizations looking to benefit from AI.
Read the full story: Search Engine Journal
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